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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Distal nucleotides affect the rate of stop codon read-through

Distal nucleotides affect the rate of stop codon read-through

Abstract

A key step in gene expression is the recognition of the stop codon to terminate translation at the correct position. However, it has been observed that ribosomes can misintrepret the stop codon and continue the translation in the 3' UTR region, which is called stop codon read-through (SCR). It has been suggested that these events would occur on a programmed basis, but the underlying mechanisms are still not well understood. Here, we present a strategy for the comprehensive identification of SCR events in the D. melanogaster transcriptome by evaluating the ribosomal density profiles. For each identified event, the associated ribosomal leak rate was estimated. With the sequences associated to SCR events, we performed a statistical characterization of the frequency of nucleotide use in the proximal region to the stop codon. We observed that the nucleotide usage pattern in transcripts with the TGA codon is different from the pattern in those transcripts ending in the TAA codon, suggesting the existence of at least two mechanisms that could alter the translational termination process. We have even observed that distal nucleotides can also affect the SCR rate. Furthermore, we developed linear regression models for each of the three stop codons, and we show that the models using the nucleotides at informative positions outperforms those models that consider the entire sequence context to the stop codon.

These files are anonymous to protect authors identity during peer review. After the end of the review process the names will be released.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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